TY - JOUR
T1 - Perceptual multivariate visualisation of volumetric Lagrangian fluid-flow processes
AU - Kehl, Christian
AU - Lobelle, Delphine M.A.
AU - van Sebille, Erik
N1 - Funding Information:
The research is supported by the “Tracking Of Plastic In Our Seas” (TOPIOS) project (grant agreement no. 715386), and partly by the IMMERSE project (grant agreement no. 821926), both funded by ERC’s Horizon 2020 Research and Innovation program. Furthermore, the NWO Groot-funded nanoplastics project (ref. no. OCENW.GROOT.2019.043) supported the outlined development. Simulations were carried out on the Dutch National e-Infrastructure with the support of SURF Cooperative (project no. 16371 and 2019.034).
Funding Information:
The research is supported by the “Tracking Of Plastic In Our Seas” (TOPIOS) project (grant agreement no. 715386), and partly by the IMMERSE project (grant agreement no. 821926), both funded by ERC’s Horizon 2020 Research and Innovation program. Furthermore, the NWO Groot-funded nanoplastics project (ref. no. OCENW.GROOT.2019.043) supported the outlined development. Simulations were carried out on the Dutch National e-Infrastructure with the support of SURF Cooperative (project no. 16371 and 2019.034).
Publisher Copyright:
Copyright © 2022 Kehl, Lobelle and van Sebille.
PY - 2022/9/5
Y1 - 2022/9/5
N2 - Lagrangian flow data in oceanography are highly complex, encompassing not only the underpinning Eulerian, advective, vectorial flow fields and the three-dimensional position coordinates of tracer particles but also supplementary trajectory information such as interaction radii of particles, lifecycle source-to-sink information and biochemical process data. Visualising all those data cooperatively in its three-dimensional context is a prime challenge, as it demands to present all relevant information to enable a contextual analysis of the flow process while preventing the most commonly-occurring perceptual issues of clutter, colourisation conflicts, artefacts and the lack of spatial references in fluid-flow applications. In this article, we present visualisation design approaches for 4D spatio-temporal data in their context and introduce a novel colour-mapping approach for 3D velocity tensors. The employed visualisation approach is evaluated towards perceptual adequacy and efficacy with respect to algebraic visualisation design and on an oceanographic case study. The technical and perceptual elements have further implications and applications for still-picture and animated volumetric visualisation design in related applications of the natural sciences, such as geological flow mapping.
AB - Lagrangian flow data in oceanography are highly complex, encompassing not only the underpinning Eulerian, advective, vectorial flow fields and the three-dimensional position coordinates of tracer particles but also supplementary trajectory information such as interaction radii of particles, lifecycle source-to-sink information and biochemical process data. Visualising all those data cooperatively in its three-dimensional context is a prime challenge, as it demands to present all relevant information to enable a contextual analysis of the flow process while preventing the most commonly-occurring perceptual issues of clutter, colourisation conflicts, artefacts and the lack of spatial references in fluid-flow applications. In this article, we present visualisation design approaches for 4D spatio-temporal data in their context and introduce a novel colour-mapping approach for 3D velocity tensors. The employed visualisation approach is evaluated towards perceptual adequacy and efficacy with respect to algebraic visualisation design and on an oceanographic case study. The technical and perceptual elements have further implications and applications for still-picture and animated volumetric visualisation design in related applications of the natural sciences, such as geological flow mapping.
KW - algebraic design principles
KW - perceptual visualization
KW - tensor visualization
KW - trajectory visualization
KW - visual design and evaluation methods
UR - http://www.scopus.com/inward/record.url?scp=85138258695&partnerID=8YFLogxK
U2 - 10.3389/fenvs.2022.941910
DO - 10.3389/fenvs.2022.941910
M3 - Article
AN - SCOPUS:85138258695
SN - 2296-665X
VL - 10
SP - 1
EP - 18
JO - Frontiers in Environmental Science
JF - Frontiers in Environmental Science
M1 - 941910
ER -